Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1415 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

Max Range: 0.0450. Min Range: -0.0450

Max Act: 0.0450. Min Act: -0.0005

Data Index: 1484179 (Python Code)

Max Activating Token Index: 818

Text #1

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Max Act: 0.0430. Min Act: -0.0005

Data Index: 1436175 (Python Code)

Max Activating Token Index: 736

Text #2

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Max Act: 0.0410. Min Act: -0.0005

Data Index: 1444874 (Python Code)

Max Activating Token Index: 573

Text #3

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Max Act: 0.0401. Min Act: -0.0005

Data Index: 1413797 (Python Code)

Max Activating Token Index: 657

Text #4

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Max Act: 0.0372. Min Act: -0.0005

Data Index: 1554745 (Python Code)

Max Activating Token Index: 126

Text #5

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Max Act: 0.0369. Min Act: -0.0005

Data Index: 1634622 (Python Code)

Max Activating Token Index: 953

Text #6

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Data Index: 1397539 (Python Code)

Max Activating Token Index: 614

Text #7

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Data Index: 1466625 (Python Code)

Max Activating Token Index: 456

Text #8

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Data Index: 1590750 (Python Code)

Max Activating Token Index: 196

Text #9

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Max Act: 0.0352. Min Act: -0.0005

Data Index: 1440085 (Python Code)

Max Activating Token Index: 200

Text #10

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Data Index: 1360935 (Python Code)

Max Activating Token Index: 848

Text #11

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Data Index: 1641627 (Python Code)

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Text #12

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Data Index: 1492087 (Python Code)

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Text #13

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Max Act: 0.0344. Min Act: -0.0005

Data Index: 1444594 (Python Code)

Max Activating Token Index: 914

Text #14

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Max Act: 0.0343. Min Act: -0.0005

Data Index: 1593162 (Python Code)

Max Activating Token Index: 466

Text #15

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Max Act: 0.0333. Min Act: -0.0005

Data Index: 1508036 (Python Code)

Max Activating Token Index: 863

Text #16

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Data Index: 1493071 (Python Code)

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Text #17

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Data Index: 1366269 (Python Code)

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Text #18

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Data Index: 1607955 (Python Code)

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Text #19

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Max Act: 0.0339. Min Act: -0.0005

Data Index: 1555887 (Python Code)

Max Activating Token Index: 502